Job VC

Welcome to
LITSLINK
— a top software development company.
We are looking for a
Middle AI/ML Engineer
to join our growing AI practice.
You will work on client and internal projects focused on Generative AI, LLM-powered applications, AI Agents, RAG systems, Computer Vision, NLP, and intelligent automation solutions.
Please note:
we are primarily looking for engineers with hands-on experience building GenAI solutions. Experience with LLMs, RAG systems, AI Agents, and AI-powered automations is highly preferred.
Tech Stack:
Python, OpenAI, Anthropic, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, AI Agents, Vector Databases, AWS/GCP/Azure
Key Responsibilities:
Design, develop, and optimize AI-powered applications and services.
Build solutions based on LLMs, RAG pipelines, AI Agents, and Generative AI technologies.
Integrate AI systems with APIs, databases, and business platforms.
Evaluate, optimize, and improve AI solutions.
Collaborate with software engineers, product teams, and stakeholders.
Conduct technical research and evaluate emerging AI technologies.
Contribute to architecture decisions, code reviews, and engineering best practices.
Requirements:
2+ years of commercial experience in AI/ML engineering, AI Engineering, Data Science, or related roles.
Experience building GenAI solutions is highly preferred.
Practical experience with Generative AI and LLM-based applications.
Hands-on experience building RAG systems, AI Agents, AI Assistants, or AI-powered automations.
Strong Python programming skills.
Solid understanding of Machine Learning fundamentals.
Experience with PyTorch, TensorFlow, or the Hugging Face ecosystem.
Experience working with OpenAI, Anthropic, Gemini, Hugging Face, or similar AI platforms.
Experience with prompt engineering, LLM evaluation, and optimization techniques.
Understanding of REST APIs and software development best practices.
Strong analytical and problem-solving skills.
Intermediate+ English level.
Nice to Have:
Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.).
Experience with AWS, GCP, or Azure.
Experience deploying AI solutions to production environments.
Knowledge of MLOps practices and model lifecycle management.
Experience with Computer Vision or NLP projects.
Experience mentoring junior engineers.
What We Offer:
Opportunity to work on cutting-edge AI projects.
Access to modern AI tools and technologies.
Collaborative and innovative engineering culture.
Professional development and career growth opportunities.
Remote-first environment.
Competitive compensation package.
Recruitment Process:
HR Interview
Technical Interview
Offer