AI Developer
Experience Required: 1+ Year
Department: Artificial Intelligence / Engineering
Employment Type: Full-Time
Location: Kochi, Kerala (On-site)
About the Role
We are seeking a motivated and technically skilled AI Developer with at least one year of hands-on experience in building, integrating, and deploying AI-driven solutions.
The ideal candidate will have a strong foundation in Python, machine learning, deep learning, generative AI, and API development. You will collaborate closely with product managers, engineers, and business teams to develop scalable, secure, and production-ready AI applications that solve real-world problems.
This role is best suited for individuals who can go beyond experimentation and contribute to delivering reliable AI systems in production environments.
Key Responsibilities
- Design, develop, test, and deploy AI and machine learning solutions
- Build AI-powered applications using large language models and generative AI technologies
- Develop and integrate AI agents, chatbots, recommendation systems, and automation workflows
- Work with structured and unstructured data: data collection, cleaning, transformation, and analysis
- Train, fine-tune, evaluate, and optimize ML and deep learning models
- Integrate third-party AI services and APIs into applications
- Develop backend APIs and microservices using FastAPI, Flask, or similar frameworks
- Implement Retrieval-Augmented Generation (RAG) solutions using embeddings and vector databases
- Design prompts, evaluation methods, guardrails, and structured output pipelines for LLM applications
- Monitor model performance, accuracy, latency, and reliability
- Collaborate with cross-functional teams including frontend, backend, DevOps, and QA
- Write clean, scalable, and well-documented code
- Participate in code reviews, debugging, and performance optimization
- Maintain technical documentation for AI systems and integrations
- Stay updated with the latest advancements in AI, ML, and generative technologies
Required Qualifications
- Bachelor’s degree in Computer Science, AI, Data Science, IT, Engineering, or related field
- Minimum 1 year of professional experience in AI, ML, or data-related roles
- Strong programming skills in Python
- Solid understanding of machine learning concepts, algorithms, and model evaluation
- Hands-on experience with at least one framework: PyTorch, TensorFlow, Keras, or Scikit-learn
- Experience working with generative AI, LLMs, or AI APIs
- Familiarity with prompt engineering, embeddings, vector search, and RAG
- Experience in developing REST APIs using FastAPI, Flask, or similar frameworks
- Working knowledge of SQL and database systems
- Familiarity with Git and collaborative development workflows
- Strong analytical, debugging, and problem-solving skills
- Good communication and documentation abilities
Required Technical Skills
- Python
- Machine Learning & Deep Learning
- Generative AI & Large Language Models
- PyTorch / TensorFlow / Keras / Scikit-learn
- Hugging Face Transformers
- FastAPI / Flask
- REST API Development & Integration
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings & Vector Databases
- SQL & Database Fundamentals
- Git & Version Control
- Data Preprocessing & Model Evaluation
Preferred Skills (Good to Have)
- Experience with LangChain, LangGraph, or LlamaIndex
- Familiarity with vector databases like Pinecone, Qdrant, Weaviate, Milvus, Chroma, or FAISS
- Experience with AI agents, multi-agent systems, and workflow automation
- Knowledge of NLP, Computer Vision, Speech AI, or Recommendation Systems
- Experience fine-tuning LLMs (LoRA, QLoRA, PEFT)
- Familiarity with Docker, Linux, CI/CD pipelines
- Exposure to AWS, Azure, or Google Cloud
- Understanding of MLOps practices (MLflow, model monitoring, versioning)
- Basic frontend knowledge (React or Next.js)
- Experience working in Agile or startup environments
Core Competencies
- Strong interest in building production-grade AI systems
- Ability to translate business requirements into technical solutions
- Quick learner with adaptability to new tools and technologies
- Focus on performance, scalability, and data security
- Ability to work independently and collaboratively
- Ownership mindset and accountability for deliverables
- Clear communication and professional documentation skills
Application Requirements
Interested candidates should submit:
- Updated Resume
- GitHub profile or project portfolio
- Details of AI/ML projects (academic, internship, or personal)
- Relevant certifications (if any)
- Current location
- Notice period / earliest joining date
Note: Only candidates with relevant hands-on experience in AI development will be considered.
Application Question(s):
- Current Salary
- Expected Salary
Education:
Experience:
Work Location: In person
