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Impact Analytics - Lead Software Engineer - Artificial Intelligence Job Opening In Bengaluru – Now Hiring Impact Analytics


Job description

<p><p><b>The impact that you will be making :</b><br/><br/>We are looking for a Lead Software Engineer - AI who is passionate about building AI-driven enterprise-grade applications.

This role is for a hands-on technical leader who will drive the development of our next-generation platform for autonomous AI agents.

You'll be responsible for building, optimizing, and deploying intelligent systems that can reason, plan, and execute multi-step tasks within enterprise workflows.<br/><br/>- Lead hands-on development : Design, build, and optimize scalable, production-grade systems for GenAI agents and multi-agent systems.<br/><br/>- Orchestration and frameworks : Implement and manage agentic workflows using frameworks like AutoGen, CrewAI, LangGraph and n8n.<br/><br/>- System architecture : Translate architectural designs into code, ensuring systems are robust, scalable, and deployed effectively on cloud platforms (AWS, GCP, Azure).<br/><br/>- Integration and tooling : Develop and integrate tool-augmented agents by connecting them to APIs, databases, and other enterprise systems.<br/><br/>- Memory and RAG : Engineer and optimize retrieval-augmented generation (RAG) pipelines, including vector search (Pinecone, etc) and embedding strategies.<br/><br/>- Fine-tuning and LLMs : Aware of applying fine-tuning techniques on LLM and how to handle/ build custom LLMs. Prompt Mentorship : Guide and mentor a team of engineers, promoting best practices for AI development, testing, and deployment.<br/><br/><b>What lands you in this role :</b></p><p><p><b><br/></b></p>- 7+ years of software engineering experience with a focus on AI/ML/ Agents.<br/><br/>- 3+ years of experience specifically with GenAI and autonomous agent systems.<br/><br/>- Strong proficiency in Python, FastAPI, RUST (good to have) and cloud services.<br/><br/>- Expertise in agentic frameworks and workflows like AutoGen, CrewAI, LangGraph and n8n.<br/><br/>- Deep knowledge of multi-agent orchestration, RAG, and vector search.<br/><br/>- Experience with LLM fine-tuning and working with major LLM providers.<br/><br/>- Hands-on experience building and integrating tool-augmented agents.<br/><br/>- Familiarity with observability tools for AI systems.<br/><br/>- Experience with infrastructure automation (Terraform)<br/><br/>- Excellent problem-solving skills, leadership capabilities, and a collaborative mindset.<br/><br/><b>Good to Have : </b><br/><br/>- Prior experience in retail analytics, supply chain, or pricing domains.<br/><br/>- Experience with container orchestration using Kubernetes.<br/><br/>- Contributions to open-source AI/ML projects or publications in relevant fields.<br/><br/><b>Why Join Us?</b><br/><br/>- An opportunity to develop some of the best enterprise SaaS products to be built out of India<br/><br/>- Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions<br/><br/>- A flat, collegial work environment, with a hard, play hard attitude<br/><br/>- A platform for rapid growth if you are willing to try new things without fear of failure.<br/><br/>- Remuneration with best-in-class industry standards with generous health insurance cover</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Impact Analytics Potential: Insight & Career Growth Guide


Real-time Impact Analytics 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 Impact Analytics in Bengaluru, India, highlighting market share and opportunities for professionals in Impact Analytics roles.

18729 Jobs in India
18729
1465 Jobs in Bengaluru
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Are You Looking for Impact Analytics Lead Software Engineer Artificial Intelligence 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 Impact Analytics adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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.

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Key qualifications for Impact Analytics Lead Software Engineer Artificial Intelligence 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 Impact Analytics Lead Software Engineer Artificial Intelligence Job Success

Impact Analytics interview tips for Impact Analytics   Lead Software Engineer   Artificial Intelligence

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Before the Interview:

Research: Learn about the Impact Analytics's mission, values, products, and the specific job requirements and get further information about

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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:

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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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Final Thought:

To prepare for your Impact Analytics Lead Software Engineer Artificial Intelligence interview at Impact Analytics, research the company, understand the job requirements, and practice common interview questions.

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

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