AI Developer

AI Developer

Roles and Responsibilities

AI & Machine Learning Development:

• Develop, train, and fine-tune

  machine learning (ML)

  and

  deep learning (DL)

  models.
• Implement

  LLMs, NLP (Natural Language Processing), reinforcement learning (RL)

  , and

  computer vision (CV)

  models.
• Optimize

  retrieval-augmented generation (RAG)

  systems using

  vector databases

  like FAISS, Pinecone, and Chroma.
• Work on

  multimodal AI systems

  integrating text, image, and audio processing.

Agentic AI Systems Development:

• Build autonomous

  AI agents

  that can make decisions, learn from feedback, and interact with environments.
• Implement

  multi-agent frameworks

  using LangChain, CrewAI, AutoGen, BabyAGI, and MetaGPT.
• Integrate AI agents with

  APIs, databases

  , and enterprise applications for real-world deployment.

Software Engineering & MLOps:

• Design and deploy AI models using

  Docker, Kubernetes

  , and

  CI/CD pipelines

  .
• Implement

  MLOps workflows

  for continuous training, monitoring, and model retraining.
• Optimize AI solutions for

  cloud platforms

  (AWS, Azure, GCP) and edge computing.

AI Governance & Security:

• Implement

  AI safety measures

  , including adversarial defense and bias mitigation.
• Ensure compliance with

  AI regulations

  (GDPR, HIPAA, SOC 2) and ethical AI principles.
• Secure AI agents against prompt injection, model poisoning, and adversarial attacks.

Skills Required

• Strong programming skills in

  Python, Java, or R

  .
• Expertise in machine learning frameworks such as

  TensorFlow, PyTorch, and Scikit-Learn

  .
• Experience with

  LLMs & NLP

  (Hugging Face, OpenAI API, BERT, GPT, Claude).
• Proficiency in

  multi-agent frameworks

  (LangChain, CrewAI, AutoGen).
• Knowledge of

  reinforcement learning algorithms

  (PPO, A3C, DDPG, SAC).
• Experience with

  vector databases

  (FAISS, Pinecone, Chroma) and knowledge graphs.
• Strong foundation in

  MLOps

  and cloud AI services (AWS, Azure AI, Google Vertex AI).
• Strong analytical and problem-solving skills.
• The ability to work effectively in a fast-paced, cross-functional team.
• Excellent communication and documentation skills.
• A Master's in Computer Science, AI, or Data Science is preferred.
• Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer) are a plus.
• Experience with autonomous systems, robotics, or digital twins is preferred.
• A minimum of

  5-7 years of similar or equivalent experience

  .