AI Product Engineer

AI Product Engineer

We are seeking a self-driven AI Engineer, with 3-5 years of experience,to be a key member of our Data & AI practice. The role focuses on developing AI applications and developing cloud-native solutions.

You will work on:

We help many of our clients in building advanced analytics solutions (from traditional ML to deep learning, Computer Vision, Gen AI & Automation). You will work on some of the cutting-edge AI technologies to build meaningful products & solutions.

Job Location: Pune

What you will do (Responsibilities):

• Perform work both independently and collaboratively as a project member.
  
• Collaboratewith Product Management team, elicitGenAI use case specific requirements, explore and evaluate approaches
  
• Design, develop, and deploy Agentic AIapplications for real-world business problems such as risk analysis, information search, audit & compliance checks etc.
  
• Own the end-to-end AI lifecycle: requirements, solution design, model/tech selection, prompt engineering /optimization, deployment, monitoring and continuous improvement.Own the end-to-end AI lifecycle: requirements, solution design, model/tech selection, prompt engineering /optimization, workflow development, deployment, monitoring and continuous improvement.
  
• Build and orchestrate Agentic AI systemsusing frameworks such as LangChain, LangGraph,LlamaIndex, Autogen, or similar, enabling reasoning, planning, and tool usage.
  
• Develop scalable GenAI services using Python, REST/GraphQL APIs, background jobs, and event-driven systems.
  
• DeployGenAI solutions to production using cloud-native architectures, ensuring: Security, scalability, low latency, and cost optimization Responsible AI practices (guardrails, moderation, data privacy)
  
• Apply MLOps/LLMOpsbest practices including CI/CD for GenAI workflows, prompt versioning, experiment tracking, monitoring for hallucinations, token usage etc.
  
• Explore new tools, technologies, papers, frameworks in Gen AI domain.
  
• Contribute to code reviews, documentation, and knowledge sharing within the AI/ML team.
  
• Mentor, guidejunior team members
  

Requirements

What you bring (Skills):

• 3–5 years of hands-on experiencebuilding and deploying Gen AI solutionsas part of production-grade applications.
  
• High proficiencyProficiencyin Pythonwith experience building production-grade systems.
  
• Hands-on experience with Generative AI and LLM ecosystems, including:
  
• OpenAI / Claude / Gemini,
  
• LangChain, LlamaIndex, or similar orchestration frameworks
  
• Strong understanding of Prompt Engineeringtechniques, RAGarchitectures, Tokenization etc.
  
• Experience building agentic AI systemswith tool usage, memory, planning, or multi-step reasoning.
  
• Experience building and deploying AI Services via REST APIsusing frameworks like FastAPI.
  
• Working knowledge of deploying ML workloads on cloud platforms(AWS preferred; Azure or GCP acceptable).
  
• Familiarity with containerization (Docker)and basic CI/CD concepts as applied to ML workflows.
  
• Strong skills on using AI Assisted coding toolslike Claude code, cursor etc
  
• Ability to collaborate with data engineers, frontend and backend engineers to integrate AI Services into products.
  
• Strong analytical, problem‑solving, and communication skills.
  

Great if you know (Skills):

• Exposure to LLMOpsframeworks
  
• Experience with Open source LLMs, Knowledge of Vector Databases (FAISS, Pinecone, Weaviate etc)
  
• Understanding of Agile / Scrumdevelopment methodology and collaborative delivery.
  
• Exposure to core Data science streams such as ML, NLP or Computer Vision
  

Benefits

Advantage Cognologix:

• A higher degree of autonomy, startup culture & small teams
  
• Opportunities to become an expert in emerging technologies
  
• Remote working options for the right maturity level
  
• Competitive salary & family benefits
  
• Performance based career advancement