AI/ML Engineer

About

Who

we are:

Kanerika

• Inc. is a premier global software products and services firm that specializes
• in providing innovative solutions and services for data-driven enterprises. Our
• focus is to empower businesses to achieve their digital transformation goals
• and maximize their business impact through the effective use of data and
• AI.We leverage cutting-edge
• technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry
• best practices to deliver custom solutions that help organizations optimize
• their operations, enhance customer experiences, and drive growth.

Awards

and Recognitions

Kanerika

• has won several awards over the years, including:
• 1.CMMI Level 3 Appraised in 2024.
• 2.Best Place to Work 2022 & 2023 by Great Place
• to Work®.
• 3.Top 10 Most Recommended RPA Start-Ups in 2022 by
• RPA Today.
• 4.NASSCOM Emerge 50 Award in 2014.

5.Frost & Sullivan India 2021 Technology

• Innovation Award for its Kompass composable solution architecture.
• 6.Recognized for ISO 27701, 27001, SOC2, and GDPR
• compliances.
• 7.Featured as Top Data Analytics Services Provider
• by GoodFirms.

Working

for us

Kanerika

• is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our
• employees' growth, well-being, and diversity, and people’s experiences bear
• this out. At Kanerika, we offer a host of enticing benefits that create an
• environment where you can thrive both personally and professionally. From our
• inclusive hiring practices and mandatory training on creating a safe work
• environment to our flexible working hours and generous parental leave, we
• prioritize the well-being and success of our employees. Our commitment to
• professional development is evident through our mentorship programs, job
• training initiatives, and support for professional certifications.
• Additionally, our company-sponsored outings and various time-off benefits
• ensure a healthy work-life balance. Join us at Kanerika and become part of a
• vibrant and diverse community where your talents are recognized, your growth is
• nurtured, and your contributions make a real impact. See the benefits section
• below for the perks you’ll get while working for Kanerika.

Locations

We

are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad

(India).

Job

Location: Hyderabad, Indore and Ahmedabad.

Role

As

• an AI/ML Engineer, you will build AI and agent features for an
• enterprise-grade SaaS platform in the data privacy, data governance and AI
• governance space. Your work will cover agent-based workflows, AI asset
• discovery and AI guardrails that detect and enforce controls for PII, toxicity
• and prompt injection, as well as new AI features taken from prototype to
• production.

Key

Responsibilities

·Build

agent-based features using LLMs and frameworks such as LangChain and LangGraph,

including tool calling, orchestration and memory.

·Develop

AI asset discovery for models, agents, prompts and AI services across cloud and

AI platforms.

·Implement

guardrail signals and enforcement, including PII detection and redaction,

toxicity and content moderation, and prompt-injection and jailbreak detection.

·Build

RAG pipelines, prompt templates and evaluation harnesses.

·Evaluate

and benchmark models and guardrail classifiers for accuracy, latency and cost.

·Take

new AI features from prototype to production for new product initiatives.

·Integrate

AI services with backend microservices through well-defined APIs.

·Add

observability, logging and monitoring to AI components.

·Work

closely with the AI Architect on design and technical decisions.

What

You’ll Bring

·Bachelor’s

or Master’s degree in Computer Science, Engineering, or a related field, or

equivalent experience.

·5–8+

years of software engineering experience, including at least 2–3 years building

ML, GenAI or LLM applications in production.

·Strong

programming skills in Python.

·Hands-on

experience building agentic AI or LLM-powered features.

Mandatory

Skills

·Strong

proficiency in Python, with experience in FastAPI or Flask.

·Experience

in LLM application development: prompt engineering, RAG, embeddings and vector

databases (e.g., pgvector, OpenSearch, Pinecone, Azure AI Search).

·Hands-on

experience with agent frameworks such as LangChain, LangGraph or Semantic

Kernel, and familiarity with the Model Context Protocol (MCP).

·Experience

with AWS Bedrock/SageMaker and Azure OpenAI/Azure AI Foundry.

·Experience

• implementing AI safety controls, such as PII detection (e.g., Presidio),
• content moderation and prompt-injection defense (e.g., NeMo Guardrails,
• Guardrails AI, Llama Guard).

·Good

understanding of ML and NLP fundamentals, including Hugging Face Transformers.

·Experience

with LLM evaluation frameworks and methods.

·Familiarity

with Git, Docker and CI/CD pipelines.

Good

to Have:

·Working

knowledge of Java and Spring Boot.

·Knowledge

of AI governance frameworks such as NIST AI RMF and the EU AI Act.

·Experience

with MLOps practices and model fine-tuning.

Why

join us?

·Build

enterprise-grade products in data privacy and AI governance that are used by

organizations worldwide.

·Work

hands-on with modern technologies across GenAI, agentic AI, cloud (AWS and

Azure) and full-stack engineering.

·Learn

from experienced architects and engineering leaders through mentorship, design

reviews and knowledge-sharing sessions.

·Grow

your career with twice-yearly appraisals, certification support and a

promote-from-within culture.

·Competitive

compensation and comprehensive benefits as a full-time Kanerika employee.

·Be

part of an award-winning, CMMI Level 3 appraised data and AI company.

Employee Benefits

1.

Culture

• i.Open
• Door Policy: Encourages open communication and accessibility to management.
• ii.Open
• Office Floor Plan: Fosters a collaborative and interactive work environment.
• iii.Flexible
• Working Hours: Allows employees to have flexibility in their work schedules.
• iv.Employee
• Referral Bonus: Rewards employees for referring qualified candidates.
• v.Appraisal
• Process Twice a Year: Provides regular performance evaluations and feedback.
• 2.

Inclusivity and Diversity

• i.Hiring
• practices that promote diversity: Ensures a diverse and inclusive workforce.
• ii.Mandatory
• POSH training: Promotes a safe and respectful work environment.
• 3.

Health Insurance and Wellness Benefits

• i.GMC
• and Term Insurance: Offers medical coverage and financial protection.
• ii.Health
• Insurance: Provides coverage for medical expenses.
• iii.Disability
• Insurance: Offers financial support in case of disability.
• 4.

Child Care & Parental Leave Benefits

• i.Company-sponsored
• family events: Creates opportunities for employees and theirfamilies to bond.
• ii.Generous
• Parental Leave: Allows parents to take time off after the birth or adoption of
• a child.
• iii.Family
• Medical Leave: Offers leave for employees to take care of family members'
• medical needs.
• 5.

Perks and Time-Off Benefits

• i.Company-sponsored
• outings: Organizes recreational activities for employees.
• ii.Gratuity:
• Provides a monetary benefit as a token of appreciation.
• iii.Provident
• Fund: Helps employees save for retirement.
• iv.Generous
• PTO: Offers more than the industry standard for paid time off.
• v.Paid
• sick days: Allows employees to take paid time off when they are unwell.
• vi.Paid
• holidays: Gives employees paid time off for designated holidays.
• vii.Bereavement
• Leave: Provides time off for employees to grieve the loss of a loved one.
• 6.

Professional Development Benefits

• i.L&D
• with FLEX- Enterprise Learning Repository: Provides access to a learning
• repository for professional development.
• ii.Mentorship
• Program: Offers guidance and support from experienced professionals.
• iii.Job
• Training: Provides training to enhance job-related skills.
• iv.Professional
• Certification Reimbursements: Assists employees in obtaining professionalcertifications.
• v.Promote
• from Within: Encourages internal growth and advancement opportunities.