AI Systems Developer

About the Role

We are seeking a highly skilled
AI Engineer
to design, develop, and deploy advanced AI systems — including
LLMs, Agentic AI frameworks, Computer Vision, and OCR solutions
.

You will be responsible for building complete
AI pipelines
, fine-tuning and optimizing models, and deploying them as scalable services using
FastAPI
.

The ideal candidate is passionate about combining
LLM intelligence
with
agentic automation
— creating AI systems that can not only think, but also take action through tool usage, workflow orchestration, and real-world integrations.

Key Responsibilities

LLM & NLP Development

• Fine-tune and deploy large language models (
  GPT, LLaMA, Falcon
  ) for domain-specific applications.
• Implement
  RAG (Retrieval-Augmented Generation)
  pipelines using
  FAISS
  ,
  Milvus
  , or
  Pinecone
  .
• Build intelligent
  Agentic AI systems
  using
  LangChain
  ,
  LangGraph
  , or
  CrewAI
  — enabling autonomous, tool-using AI agents.
• Work with
  embeddings
  ,
  vector databases
  , and
  prompt engineering
  to improve contextual accuracy.
• Develop pipelines for text preprocessing, tokenization, and semantic retrieval.

Agentic AI & Automation

• Design
  multi-agent systems
  capable of task delegation and tool utilization (e.g., data fetching, analysis, report generation).
• Integrate
  OpenAI MCP (Model Context Protocol)
  to connect agents with real-world tools (Gmail, Notion, Google Calendar, Slack, etc.).
• Build intelligent workflows for automating tasks and making informed decisions.

Computer Vision & OCR

• Develop and train
  object detection
  ,
  classification
  , and
  segmentation
  models using
  YOLO
  ,
  Detectron2
  , or
  OpenCV
  .
• Implement
  OCR systems
  using
  Tesseract
  or
  easyOCR
  for extracting text from images.
• Prepare and augment datasets for training robust CV models.

AI Deployment & API Development

• Build and deploy AI microservices and APIs using
  FastAPI
  .
• Create modular and scalable AI backends for real-time or batch inference.
• Containerize applications with
  Docker
  and deploy to
  AWS
  ,
  GCP
  , or
  Azure
  .
• Implement CI/CD pipelines for continuous deployment of AI models.

Data Engineering

• Build
  data pipelines (ETL)
  for ingestion, preprocessing, and transformation.
• Work with
  SQL/NoSQL
  databases such as
  PostgreSQL
  ,
  MySQL
  , or
  MongoDB
  .
• Perform large-scale data collection and cleaning using
  BeautifulSoup
  or
  Scrapy
  .

Required Skills & Qualifications

Educational Qualification:

·      Bachelor's degree in
Computer Science
,
Software Engineering
, or any equivalent field.

Professional Experience:

·      Minimum
2–3 years
of hands-on experience in
AI System development
.

AI & ML:

• Strong understanding of machine learning, deep learning, and neural networks.
• Experience in fine-tuning
  LLMs
  and developing
  RAG
  -based systems.
• Hands-on with
  LangChain
  ,
  LlamaIndex
  , or
  CrewAI
  frameworks.
• Experience in
  model optimization
  ,
  quantization
  , and
  inference tuning
  .

Programming:

• Proficient in
  Python
  (NumPy, Pandas, PyTorch, TensorFlow).
• Strong experience with
  FastAPI
  ,
  Docker
  , and RESTful API development.

Databases:

• Experience with
  vector stores
  (FAISS, Pinecone, Milvus).
• Proficiency in
  SQL/NoSQL
  databases.

Cloud & Deployment:

• Familiarity with
  AWS
  ,
  GCP
  , or
  Azure
  for AI model hosting.
• Experience with
  Linux
  ,
  Git/GitHub
  , and container orchestration.

Nice to Have

• Experience with
  real-time AI inference
  or
  edge deployment
  .
• Knowledge of
  Agentic orchestration tools
  (LangGraph, AutoGen, CrewAI).
• Familiarity with
  CI/CD
  pipelines and monitoring tools.
• Prior work in automation, chatbots, or autonomous AI agents.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication skills to explain complex AI concepts.
• Collaborative and proactive team player.
• Self-motivated and eager to explore new AI frameworks and technologies.

Compensation & Benefits

• Competitive and negotiable salary (based on skill and experience).
• Opportunities for research and innovation in emerging AI technologies.
• Long-term career growth in a rapidly expanding AI-driven organization.
• Yearly performance-based increments.
• Two festival bonuses
  per year.
• Opportunity to work on
  large-scale government and private software
  projects
• Friendly, supportive, and knowledge-sharing work environment.