AI Engineer

Hiring: AI Developer / AI Engineer

Location: Pune (Hybrid)

Experience: 5+ Years

Roles & Responsibilities-

Job Description

Required Professional Experience

5+ years of experience in software engineering, with a strong focus on AI, NLP, or Information Retrieval.

Production mindset: Proven track record of delivering production-grade software, not just prototypes or notebooks. Experience operating AI-backed services in enterprise settings.

Process mastery (SDLC & CRISP-DM): Ability to bridge experimental data science and rigorous software engineering, turning iterative AI experiments into reliable release cycles.

Advanced Python proficiency: Writes clean, structured, and typed Python (3.11+) code using modern features such as async/await and Pydantic, with effective dependency and package management.

Software craftsmanship & quality: Treats AI code as production software by writing comprehensive tests (pytest, mocking), enforcing code quality with pre-commit hooks (ruff, mypy), and following strict Git workflows including merge requests and code reviews.

Development autonomy: Takes ownership of the local development environment and tooling, including Docker setup and configuration management.

Technical Skills: GenAI & Retrieval

Generative AI stack: Deep knowledge of NLP, LLMs, and prompt engineering as a structured discipline.

Retrieval architectures: Hands-on experience with RAG, hybrid retrieval strategies, GraphRAG, and vector search technologies such as OpenSearch.

Evaluation: Experience designing automated evaluation pipelines to benchmark AI output quality and retrieval performance.

Nice to Have

Experience with cloud-based AI platforms such as AWS Bedrock and Azure OpenAI.

Knowledge of Model Context Protocol (MCP) and modern API interface standards.

Soft Skills

Adaptability and rapid learning in a fast-evolving AI landscape.

Hands-on mindset with a strong desire to deliver value to users.

Pragmatism and a focus on practical, working solutions over perfection.

Strong ability to leverage GenAI effectively in day-to-day work.

Strong communication skills with both technical and non-technical stakeholders.

Analytical mindset with the ability to simplify complex topics.

Ownership attitude and proactive working style.