Permanent Role: AI/ML Engineer – Generative AI & Agentic AI
Experience: 1- 4 years
Work Location: Bangalore
Work Mode: WFO – 5 Days Shift Timings: General Shift
About the Company
We are looking for a highly skilled AI/ML Engineer with hands-on expertise in Machine Learning, Deep Learning, Generative AI, and Agentic AI systems. The ideal candidate should have experience in designing, developing, deploying, and optimizing AI-driven solutions across both PoC and production environments. The role requires strong technical depth in AI/ML engineering, LLM-based application development, orchestration frameworks, and scalable AI solution delivery.
About the Role
We are looking for a highly skilled AI/ML Engineer with hands-on expertise in Machine Learning, Deep Learning, Generative AI, and Agentic AI systems.
Responsibilities
- Design, develop, and deploy end-to-end AI/ML and Generative AI solutions.
- Build and optimize ML, Deep Learning, and LLM-powered applications for real-world business use cases.
- Develop Agentic AI workflows involving orchestration, tool usage, memory, planning, and multi-agent coordination.
- Perform data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
- Build scalable AI pipelines and integrate AI services with enterprise systems and APIs.
- Work with cross-functional teams to identify AI opportunities and translate business problems into AI solutions.
- Implement MLOps, LLMOps, and observability practices for production-grade AI systems.
- Continuously evaluate emerging AI technologies, frameworks, and best practices.
Qualifications
- Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Machine Learning, or related field.
- Minimum 3+ years of hands-on experience in AI/ML, Data Science, Generative AI, or Agentic AI solution development.
Required Skills
- Strong expertise in:
- Machine Learning and Deep Learning
- Generative AI and Large Language Models (LLMs)
- Agentic AI architectures and orchestration frameworks
- Prompt Engineering, RAG, AI agents, and workflow automation
- Experience building and deploying AI applications in both PoC and production environments.
- Strong proficiency in Python and AI/ML development libraries/frameworks.
- Experience with modern AI frameworks and ecosystems such as:
- Lang Chain, Llama Index, Crew Ai, AutoGen, Semantic Kernel, or similar
- TensorFlow, PyTorch, Scikit-learn
- Understanding of vector databases, embeddings, and semantic search concepts.
- Experience with cloud platforms such as AWS, Azure, or GCP and AI services/platforms.
- Knowledge of MLOps/LLMOps concepts including CI/CD, monitoring, observability, and model lifecycle management.
- Familiarity with orchestration and workflow tools such as Airflow or Prefect.
- Experience working with databases such as PostgreSQL, SQL Server, ClickHouse, or similar.
- Strong analytical, problem-solving, communication, and collaboration skills.
Preferred Skills
- Experience with multi-agent systems and autonomous AI workflows.
- Exposure to AI infrastructure optimization, inference performance tuning, or scalable AI deployments.
- Familiarity with Docker, Kubernetes, DevOps, and API-based architectures.
- Experience with real-time data processing frameworks such as Spark.
- Telecom domain knowledge (CM, PM, FM datasets across Nokia, Ericsson, Huawei, Samsung, etc.) is an added advantage.
Good to Have
- Experience with visualization tools such as Tableau or Power BI.
- AI/ML certifications or advanced specialization courses.
- Exposure to Responsible AI, AI governance, and AI security best practices.
Key Traits
- Strong ownership mindset with the ability to work independently.
- Passion for continuous learning and exploring emerging AI technologies.
- Ability to innovate and solve complex business problems using AI.
- Effective stakeholder communication and collaboration skills.
Pay range and compensation package
Equal Opportunity Statement
We are committed to diversity and inclusivity.