AI/ML Engineer

AI/ML Engineer

About
Kanerika

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 their families 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 professional certifications.

v. Promote
from Within: Encourages internal growth and advancement opportunities.