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AI / ML Engineer/Lead Job Opening In Pune – Now Hiring Codvo.ai


Job description


At Codvo, software and people transformations go hand-in-hand.

We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA.

Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do.

We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.

About the Role

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications.

In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions.
You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.

Responsibilities

Generative AI Pipeline Development

  • • Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads.
  • • Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs.
  • • Build CI/CD pipelines with integrated prompt regression testing and version control.
  • • Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows.
  • • Monitor system performance using tools like Langfuse or Prometheus.

Data and Document Ingestion

  • • Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data.
  • • Apply preprocessing pipelines for text, images, and code.
  • • Ensure data integrity, format consistency, and security across sources.

AI Service Integration

  • • Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.).
  • • Build internal APIs for smooth backend-AI communication.
  • • Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets.
  • • Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy.

Retrieval-Augmented Generation (RAG) Pipelines

  • • Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API).
  • • Design custom retrieval strategies for multi-modal or multi-source documents.
  • • Apply post-retrieval ranking using DPO or feedback-based techniques.
  • • Improve contextual relevance through re-ranking, chunk merging, and scoring logic.

LLM Integration and Optimization

  • • Manage prompt engineering, model interaction, and tuning workflows.
  • • Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design.
  • • Optimize generation using temperature tuning, token limits, and speculative decoding.
  • • Integrate observability and cost-monitoring into LLM workflows.

Backend Services Ownership

  • • Design and maintain scalable backend services supporting GenAI applications.
  • • Implement monitoring, logging, and performance tracing.
  • • Build RBAC (Role-Based Access Control) and multi-tenant personalization.
  • • Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production.

Required Skills and Qualifications

Education

• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field.

Experience

  • • 5+ years of experience in AI/ML engineering with end-to-end pipeline development.
  • • Hands-on experience building and deploying LLM/RAG systems in production.
  • • Strong experience with public cloud platforms (AWS, Azure, or GCP).

Technical Skills

  • • Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch.
  • • Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph.
  • • Experience with RESTful API development and version control using Git.
  • • Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval.
  • • Familiarity with Docker, Kubernetes, and scalable microservice design.
  • • Experience with observability tools like Prometheus, Grafana, or Langfuse.

Generative AI Specific Skills

  • • Knowledge of LLMs, VAEs, Diffusion Models, GANs.
  • • Experience building structured + unstructured RAG pipelines.
  • • Prompt engineering with safety controls, schema enforcement, and hallucination mitigation.
  • • Experience with prompt testing, caching strategies, output filtering, and fallback logic.
  • • Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods.

Soft Skills

  • • Strong analytical, problem-solving, and debugging skills.
  • • Excellent collaboration with cross-functional teams: product, QA, and DevOps.
  • • Ability to work in fast-paced, agile environments and deliver production-grade solutions.
  • • Clear communication and strong documentation practices.

Preferred Qualifications

  • • Experience with OCR, document parsing, and layout-aware chunking.
  • • Hands-on with MLOps and LLMOps tools for Generative AI.
  • • Contributions to open-source GenAI or AI infrastructure projects.
  • • Knowledge of GenAI governance, ethical deployment, and usage controls.
  • • Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI.

Experience and Shift

• Experience: 5+ years
• Shift Time: 2:30 PM to 11:30 PM IST

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI ML Potential: Insight & Career Growth Guide


Real-time AI ML Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AI ML in Pune, India, highlighting market share and opportunities for professionals in AI ML roles.

106558 Jobs in India
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Are You Looking for AI / ML Engineer/Lead Job?

Great news! is currently hiring and seeking a AI / ML Engineer/Lead to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Codvo.ai adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for AI / ML Engineer/Lead Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI / ML Engineer/Lead?

Key qualifications for AI / ML Engineer/Lead typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AI / ML Engineer/Lead Job Success

Codvo.ai interview tips for AI / ML Engineer/Lead

Here are some tips to help you prepare for and ace your AI / ML Engineer/Lead job interview:

Before the Interview:

Research: Learn about the Codvo.ai's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI / ML Engineer/Lead interview at Codvo.ai, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Codvo.ai's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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