AI EngineerExperience: 2 - 5 Years Exp
Salary : INR 15-25 Lacs per annum
Preferred Notice Period: Within 30 Days
Shift: 10:00AM to 7:00PM IST
Opportunity Type: Onsite (Pune)
Placement Type: Permanent(*Note: This is a requirement for one of Uplers' Clients)Must have skills required :
Python, GenAI, RAG Framework, LLM
Good to have skills :
Docker, Clinical Data, FastAPI, Streamlit, HealthTech, biomedicalAnervea.AI (One of Uplers' Clients) is Looking for:
AI Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description
Key Responsibilities :
Develop, train, and fine-tune large language models and generative architectures (LLMs, VAEs, Transformers, GANs)
Integrate models with applications using LangChain, LlamaIndex, RAG, and other frameworks
Design LLM-based agents for specific use cases: summarization, classification, scoring, Q&A, translation
Build prompt templates and semantic memory flows using vector databases like Pinecone or FAISS
Collaborate with backend and data teams to ingest data from PDFs, APIs, structured databases, and JSON files
Benchmark model outputs and run experiments to optimize cost, performance, and quality
Stay on top of AI research and rapidly implement useful techniques in production environments
Write clear, modular, reusable code with documentation and test coverage
Troubleshoot model-related deployment or inference issuesTechnical Skills Required :
Strong Python programming skills
Experience with Transformers, Hugging Face, OpenAI/Anthropic APIs, Med-GEMMA, or similar foundation models
Experience with agentic frameworks: LangChain, LlamaIndex, LangGraph, semantic RAG
Familiarity with Vector database experience (Pinecone, FAISS, Weaviate, or similar)
Comfortable with prompt engineering, few-shot learning, fine-tuning basics
Ability to process and clean unstructured data (PDFs, notes, research papers, etc.)
Understanding of NLP metrics and model evaluation techniques
Bonus: experience with biomedical or clinical data (PubMed, ClinicalTrials.gov, etc.)
Bonus: experience with deploying models via FastAPI, Docker, or StreamlitPersonal Attributes :
Curiosity and willingness to learn new models and tools quickly
Attention to detail and commitment to quality
Ownership mindsetyou care about the outcome, not just the code
Ability to work independently and push through ambiguity
Passion for building usable AI, not just research prototypes
Strong communication and collaboration skills across tech and domain teamsBonus Qualities :
Youve built or deployed LLMs into production
Youve worked with healthcare or life sciences data
You can show personal projects, GitHub repos, or AI experiments that demonstrate your passionHow to apply for this opportunity:
Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!About Our Client:
Anervea has proprietary AI-platforms and solutions that accelerates BioPharma commercialization by unlocking incremental market opportunities. The results are real-time with reduced data lag and streamlined workflows for more actionable insights throughout the product life-cycle.About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.(Note: There are many more opportunities apart from this on the portal.)So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Keyskills: GenAI Python Artificial Intelligence RAG Framework Aiml LLM
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