Role Description
Role Proficiency:Independently develops error free code with high quality validation of applications guides other developers and assists Lead 1 – Software Engineering
Outcomes
- Understand and provide input to the application/feature/component designs; developing the same in accordance with user stories/requirements.
- Code debug test document and communicate product/component/features at development stages.
- Select appropriate technical options for development such as reusing improving or reconfiguration of existing components.
- Optimise efficiency cost and quality by identifying opportunities for automation/process improvements and agile delivery models
- Mentor Developer 1 – Software Engineering and Developer 2 – Software Engineering to effectively perform in their roles
- Identify the problem patterns and improve the technical design of the application/system
- Proactively identify issues/defects/flaws in module/requirement implementation
- Assists Lead 1 – Software Engineering on Technical design. Review activities and begin demonstrating Lead 1 capabilities in making technical decisions
Measures Of Outcomes
- Adherence to engineering process and standards (coding standards)
- Adherence to schedule / timelines
- Adhere to SLAs where applicable
- Number of defects post delivery
- Number of non-compliance issues
- Reduction of reoccurrence of known defects
- Quick turnaround of production bugs
- Meet the defined productivity standards for project
- Number of reusable components created
- Completion of applicable technical/domain certifications
- Completion of all mandatory training requirements
Code
Outputs Expected:
- Develop code independently for the above
Configure
- Implement and monitor configuration process
Test
- Create and review unit test cases scenarios and execution
Domain Relevance
- Develop features and components with good understanding of the business problem being addressed for the client
Manage Project
- Manage module level activities
Manage Defects
- Perform defect RCA and mitigation
Estimate
- Estimate time effort resource dependence for one's own work and others' work including modules
Document
- Create documentation for own work as well as perform peer review of documentation of others' work
Manage Knowledge
- Consume and contribute to project related documents share point libraries and client universities
Status Reporting
- Report status of tasks assigned
- Comply with project related reporting standards/process
Release
Design
- LLD for multiple components
Mentoring
- Mentor juniors on the team
- Set FAST goals and provide feedback to FAST goals of mentees
Skill Examples
- Explain and communicate the design / development to the customer
- Perform and evaluate test results against product specifications
- Develop user interfaces business software components and embedded software components 5 Manage and guarantee high levels of cohesion and quality6 Use data models
- Estimate effort and resources required for developing / debugging features / components
- Perform and evaluate test in the customer or target environment
- Team Player
- Good written and verbal communication abilities
- Proactively ask for help and offer help
Knowledge Examples
- Appropriate software programs / modules
- Technical designing
- Programming languages
- DBMS
- Operating Systems and software platforms
- Integrated development environment (IDE)
- Agile methods
- Knowledge of customer domain and sub domain where problem is solved
Additional Comments
POSITION DESCRIPTION Job title Senior AI Engineer Department/BU Engineering Overview: We are seeking a motivated Senior AI Engineer to contribute to the design and development of our agentic framework and centralized AI platform. This role will focus on implementing and integrating AI agents, experimenting with open-source AI tools, and supporting the delivery of customer-facing and internal AI-powered applications. You will work closely with senior AI engineers, backend developers, and product engineers to bring agentic solutions to life, gaining hands-on experience with cutting-edge AI frameworks and infrastructure. Responsibilities:
- Implement and maintain components of agentic AI framework under the guidance of senior engineers
- Leverage open-source AI frameworks (e.g., LangChain, CrewAI, AutoGen) to build and experiment with agents for diverse use cases
- Incorporate selected open-source solution into our agentic AI framework
- Collaborate with product engineers to integrate AI agents into customer-facing applications and internal tools
- Write clean, maintainable Python code for AI workflows, APIs, and data integration tasks
- Assist in testing, debugging, and improving performance of AI-powered workloads
- Contribute to documentation and knowledge sharing across the team Relevant experience and educational requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 2–4 years of software engineering experience, with exposure to AI/ML concepts or platforms
- Solid programming skills in Python; familiarity with frameworks like FastAPI or Flask a plus
- Hands-on experience with at least one agentic AI framework (e.g., LangChain, LangGraph, CrewAI, AutoGen) through projects, internships, or work experience
- Familiarity with containerization (Docker) and cloud environments (AWS, GCP, or Azure)
- Exposure to orchestration frameworks (Kubernetes) Familiarity with modern LLM APIs (OpenAI, Anthropic, etc.) Disclaimer: This job description is intended to describe the general nature and level of work being performed and is. not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Skills
Artificial Intelligence,Python,Docker,Ai framework
