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Artificial Intelligence Engineer - LLM Job Opening In Pune – Now Hiring Wednesday Solutions


Job description

<p></p><p><b>Description :</b><br/><br/> Wednesday is a global engineering consultancy.<br/><br/> We partner with ambitious companies to build AI-native products, modernize data platforms, and accelerate software development.<br/><br/> We work at the early and most ambiguous stages of product development where craft, clarity, and execution speed determine success.<br/><br/> Our teams include engineers, designers, and product managers who care deeply about the work they do.<br/><br/> We treat software like a craft, and our clients like long-term collaborators.<br/><br/><b>What Youll Do :</b><br/><br/> As an AI Engineer at Wednesday, youll design and build production-ready AI systems using state-of-the-art language models, vector databases, and modern AI frameworks.<br/><br/> Youll own the full lifecycle of AI features from prototyping and prompt engineering to deployment, monitoring, and optimization.<br/><br/> Youll work closely with product and engineering teams to ensure our AI solutions deliver real business value at scale.<br/><br/><b>Your Responsibilities :</b><br/><br/><b>System Architecture & Development :</b><br/><br/> - Architect and implement AI applications leveraging transformer-based LLMs, embeddings, and vector similarity techniques.<br/><br/> - Build modular, maintainable codebases using Python and AI Generation & Semantic Search :</b><br/><br/> - Design and deploy RAG systems with vector databases such as Pinecone, Weaviate, or Chroma to power intelligent document search and knowledge retrieval.<br/><br/><b>LLM Integration & Optimization :</b><br/><br/> - Integrate with LLM platforms (OpenAI, Anthropic) or self-hosted models (Llama, Mistral), including prompt engineering, fine-tuning, and model evaluation.<br/><br/> - Experience with AI orchestration tools (LangFlow, Flowise), multimodal models, or AI safety and evaluation frameworks.<br/><br/><b>AI Infrastructure & Observability :</b><br/><br/> - Develop scalable AI pipelines with proper monitoring, evaluation metrics, and observability to ensure reliability in production environments.<br/><br/><b>End-to-End Integration & Rapid Prototyping :</b><br/><br/> - Connect AI backends to user-facing applications; prototype new AI features quickly using frontend frameworks Collaboration :</b><br/><br/> - Partner with product managers, designers, and fellow engineers to translate complex business requirements into robust AI solutions.<br/><br/><b>Youll Thrive in This Role If You :</b><br/><br/> - Have 3 to 5 years of experience building production AI/ML systems at a consulting or product-engineering firm.<br/><br/> - Possess deep understanding of transformer architectures, vector embeddings, and semantic search.<br/><br/> - Are hands-on with vector databases (Pinecone, Weaviate, Chroma) and RAG pipelines.<br/><br/> - Have integrated and optimized LLMs via APIs or local deployment.<br/><br/> - Are proficient in Python AI stacks (LangChain, LlamaIndex, Hugging Face).<br/><br/> - Have built backend services (FastAPI, Node.js, or Go) to power AI features.<br/><br/> - Understand AI UX patterns (chat interfaces, streaming responses, loading states, error handling).<br/><br/> - Can deploy and orchestrate AI systems on AWS, GCP, or Azure with containerization and orchestration tools.<br/><br/><b>Bonus :</b> Advanced React/Next.js skills for prototyping AI-driven UIs.<br/><br/></p><br/><p></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Artificial Intelligence Potential: Insight & Career Growth Guide


Real-time Artificial Intelligence 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 Artificial Intelligence in Pune, India, highlighting market share and opportunities for professionals in Artificial Intelligence roles.

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Are You Looking for Artificial Intelligence Engineer LLM Job?

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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 Wednesday Solutions 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 Artificial Intelligence Engineer LLM 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 Artificial Intelligence Engineer LLM?

Key qualifications for Artificial Intelligence Engineer LLM 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 Artificial Intelligence Engineer LLM Job Success

Wednesday Solutions interview tips for Artificial Intelligence Engineer   LLM

Here are some tips to help you prepare for and ace your Artificial Intelligence Engineer LLM job interview:

Before the Interview:

Research: Learn about the Wednesday Solutions'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 Artificial Intelligence Engineer LLM interview at Wednesday Solutions, 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 Wednesday Solutions'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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