Job Description & How to Apply Below
Base Location – Hyderabad/Bengaluru
Duration – Full time
** Immediately to 15 days*
* Job description:
We are looking for a skilled AI Engineer with 4–6 years of experience to design, develop, and deploy AI-driven solutions across the organization. This role focuses on building and integrating Generative AI applications, supporting Responsible AI practices, and embedding AI into the Software Development Life Cycle (SDLC).
The ideal candidate will have hands-on experience with Large Language Models (LLMs) such as OpenAI (ChatGPT) and Anthropic (Claude), along with exposure to agent-based systems and modern AI development practices.
Key Responsibilities:
AI Development & Implementation
Design and build AI/ML and Generative AI solutions to solve business problems
Develop applications using LLMs (e.g., OpenAI, Anthropic)
Implement prompt engineering techniques and evaluation strategies
Support fine-tuning and optimization of models where applicable
LLM & Generative AI Solutions
Build and integrate LLM-powered applications such as chatbots, copilots, and automation tools
Develop reusable prompt frameworks and workflows
Evaluate model performance, accuracy, and reliability
AI Integration into SDLC
Integrate AI capabilities into existing applications and workflows
Contribute to AI-driven testing, automation, and development practices
Work with Dev Ops teams to support CI/CD pipelines for AI solutions
Agentic AI & Automation (Exposure)
Assist in building agent-based workflows and automation pipelines
Work with orchestration tools and frameworks for multi-step AI tasks
Support development of context-aware and task-driven AI agents
AI Governance, Security & Compliance (Support Role)
Follow established Responsible AI and governance guidelines
Ensure solutions comply with data privacy and security policies
Assist in implementing monitoring, logging, and basic risk controls
Collaboration & Delivery
Work closely with product, engineering, and data teams
Translate business requirements into AI-driven solutions
Contribute to documentation, knowledge sharing, and best practices
Required Technical Skills
AI / ML & LLMs
Hands-on experience with Generative AI and LLMs
Experience with OpenAI (ChatGPT), Anthropic (Claude), or similar platforms
Understanding of prompt engineering and evaluation techniques
Programming & Development
Proficiency in Python (preferred) or similar languages
Experience building APIs and working with microservices
Familiarity with AI/ML frameworks and libraries
Architecture & Integration
Basic understanding of scalable system design
Experience integrating third-party APIs and AI services
Exposure to cloud platforms (AWS, Azure, or GCP)
Dev Ops & MLOps
Familiarity with CI/CD pipelines and Dev Ops workflows
Basic understanding of MLOps practices (deployment, monitoring, versioning)
Data Security & Compliance
Understanding of data privacy and security fundamentals
Awareness of compliance standards (GDPR, SOC2, etc.)
Preferred Qualifications
Experience working on Generative AI or chatbot projects
Exposure to agent frameworks or workflow orchestration tools
Familiarity with vector databases and embeddings
Knowledge of AI monitoring or observability tools
Soft Skills
Strong problem-solving and analytical thinking
Good communication and collaboration skills
Ability to learn quickly and adapt to evolving technologies
Balance between hands-on coding and solution thinking
Education:
Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Data Science or related field.
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