We are seeking a mid-senior level Software Engineer (GenAI) with 3-5 years of hands-on experience to join our AI team. This role is focused on designing, building, and scaling production-grade Generative AI solutions across enterprise use cases.
The ideal candidate should have strong experience in Python, LLM-based application development, and modern AI frameworks, along with the ability to take ownership of end-to-end AI system design-from proof-of-concept to scalable deployment.
Key Responsibilities
Design and develop scalable Generative AI applications across use cases such as text generation, summarization, search, and automation.
Architect and implement LLM-powered systems, including RAG (Retrieval-Augmented Generation), agent-based workflows, and multi-step reasoning pipelines.
Build and integrate AI workflows using frameworks such as LangChain, LlamaIndex, and workflow orchestration tools like n8n.
Develop and optimize backend services using Python (FastAPI/Flask) to expose AI capabilities via APIs.
Design and manage vector-based retrieval systems using tools such as Pinecone, Weaviate, FAISS, or Chroma.
Integrate with leading AI platforms such as OpenAI, Anthropic, and Hugging Face, ensuring optimal performance, cost, and latency.
Build robust data pipelines for ingestion, preprocessing, chunking, and embedding of structured and unstructured data.
Take ownership of transitioning AI solutions from POC to production, ensuring scalability, reliability, and maintainability.
Implement monitoring, logging, and evaluation mechanisms to track model performance, accuracy, and system health.
Collaborate with cross-functional teams (product, design, data) to translate business requirements into AI-driven solutions.
Document system architecture, workflows, and technical decisions clearly for long-term maintainability.
Required Skills & Competencies
Bachelor's degree in Computer Science, Engineering, or a related technical field.
3-5 years of experience in software development with strong exposure to Generative AI or machine learning systems.
Strong proficiency in Python with experience in building production-grade applications.
Hands-on experience with Generative AI frameworks such as LangChain, LlamaIndex, or similar.
Solid understanding of LLMs, prompt engineering, and RAG architectures.
Experience building and consuming REST APIs.
Familiarity with vector databases and semantic search systems.
Experience working with Git and modern development workflows.
Preferred Skills
Experience with cloud platforms (AWS, Azure, or GCP) for deploying AI/ML solutions.
Exposure to n8n or similar workflow automation tools for orchestrating AI pipelines.
Understanding of LLM optimization techniques including token management, caching, and cost control.
Experience with fine-tuning, embeddings, or open-source LLMs is a plus.
Knowledge of MLOps / LLMOps practices including CI/CD, monitoring, and evaluation frameworks.
Awareness of AI security concerns such as prompt injection, data privacy, and output validation.
Strong problem-solving, communication, and collaboration skills.
Self-driven mindset with the ability to work in a fast-paced, evolving AI landscape.
About The Team
Our AI team focuses on building practical, purpose-driven solutions that integrate seamlessly into real-world business environments. We design and deploy generative AI systems that are technically robust, scalable, and aligned with business needs—enhancing efficiency without disrupting existing workflows. From identifying the right use cases to developing and refining solutions, we emphasize responsible innovation and delivering long-term value.
