
AI Engineer
1 week ago
Job Description: Junior AI Engineer
Location:
Gurgaon / Remote (Hybrid option available)
Type:
Full-time
About Us
Optivus Technologies is an AI-driven consulting and product company, building next-generation enterprise solutions that combine artificial intelligence, automation, and scalable architectures. Our flagship product,
Janus
, is transforming recruitment with AI-powered candidate screening and intelligent hiring. As we expand our product suite, we're looking for passionate engineers who thrive in ownership-driven, fast-paced environments.
Role Overview
We are seeking a
Junior AI Engineer
who is eager to work at the intersection of AI, software engineering, and product innovation. This role is ideal for candidates who are hungry to learn, take end-to-end ownership of deliverables, and contribute meaningfully to building production-ready AI systems.
You will collaborate with senior engineers and product leads to design, develop, and deploy AI-powered applications, leveraging state-of-the-art technologies such as
LangChain, Retrieval-Augmented Generation (RAG), and Vector Databases
.
Key Responsibilities
- Design, develop, and maintain AI-powered features and microservices.
- Work with
LangChain
and similar frameworks to implement RAG pipelines. - Integrate
vector databases
(e.g., Pinecone, Weaviate, FAISS, Milvus) into scalable architectures. - Write clean, modular, and well-documented
Python
code. - Collaborate with the full-stack team to integrate AI components into applications frontend, Flask/FastAPI backend).
- Deploy and manage models/applications on
AWS
and other cloud environments (nice to have). - Research and experiment with new AI/LLM techniques to improve performance.
- Debug, optimize, and test AI pipelines for reliability and scalability.
- Take
ownership
of features from conception to deployment, ensuring quality and timely delivery.
Required Skills & Qualifications
- Strong programming skills in Python
. - Experience with
LangChain
(or similar LLM frameworks). - Understanding of
Retrieval-Augmented Generation (RAG)
architectures. - Hands-on experience with
vector databases
(Pinecone, Weaviate, FAISS, Milvus, etc.). - Familiarity with
LLM APIs
(OpenAI, Anthropic, etc.). - Basic knowledge of
machine learning
concepts, embeddings, and prompt engineering. - Problem-solving mindset and eagerness to
take ownership
of deliverables. - Strong communication and collaboration skills.
Nice to Have
- Exposure to
Full-stack development
, Flask/FastAPI). - Familiarity with
AWS
(Lambda, S3, ECS, EC2, RDS). - Knowledge of
MLOps tools
(Docker, CI/CD, model monitoring). - Experience with
Neo4j or graph databases
. - Prior work on
chatbots, NLP, or information retrieval systems
.
What We Offer
- Opportunity to work directly with founders and senior engineers.
- Fast-paced,
ownership-driven startup environment
with real impact. - Exposure to cutting-edge AI technologies and enterprise use cases.
- Competitive compensation and performance-based growth opportunities.
How to Apply:
Send your resume, GitHub/portfolio, and a short note about a project you've built (academic, professional, or personal) to
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